Development of a deep learning neural network for human movements analysis

The article deals with the recognition of the sensor/intuit subtype according to the empirical typology of K.G. Jung. A video fragment with the recording of human movements is used as the input data. Preliminary processing includes algorithms for processing the frames of the video fragment for selecting the skeleton of the image and then using it as input data to an artificial neural network of deep learning. The topology of the neural network is supposed.